Single-sensor Speech Enhancement Using a Soft-Decision/variable Attenuation Algorithm

This paper presents an algorithm for single-sensor enhancment of speech corrupted by additive random noise, based on soft-decision and statistical signal processing concepts and incorporating fully automatic noise estimation/tracking algorithms. The soft-decision/variable attenuation (SDVA) algorithm uses a compressive noise reduction model within the framework of short-time Fourier processing. The SDVA algorithm is fast, effective and robust, and has been applied in realistic RF and telephone environments